Results 121 to 130 of about 42,420 (251)
Prediction of Chronic Kidney Disease Using Deep Neural Network [PDF]
arXiv, 2020 Deep neural Network (DNN) is becoming a focal point in Machine Learning research. Its application is penetrating into different fields and solving intricate and complex problems. DNN is now been applied in health image processing to detect various ailment such as cancer and diabetes.
arxiv
Pain patterns in patients with polycystic kidney disease [PDF]
, 2004 Pain patterns in patients with polycystic kidney disease.BackgroundPain is a common problem in patients with polycystic kidney disease (PKD), but patterns have not been characterized as to frequency and severity.
Bajwa, Zahid H. +3 more
core +1 more source
Autosomal recessive polycystic kidney disease: the prototype of the hepato-renal fibrocystic diseases [PDF]
, 2014 Autosomal recessive polycystic kidney disease (ARPKD) is a severe, typically early onset form of renal cystic disease. The care of ARPKD patients has traditionally been the purview of pediatric nephrologists for management of systemic hypertension and ...
Guay-Woodford, Lisa
core +2 more sources
Autosomal Recessive Polycystic Kidney Disease and Epidemiologic Factors
Journal of Comprehensive Pediatrics, 2017 Background: Autosomal recessive polycystic kidney disease (ARPKD) is a heterogeneous inherited disorder most commonly seen in childhood. The presentation is usually a palpable large mass in the flank or abdomen appearing at infancy or birth, leading to electrolyte abnormalities, pulmonary hypoplasia, oligohydramnious and the Potter’s syndrome.
Fereshte Maghsudlu +2 more
openaire +3 more sources
Scientific Reports, 2019 Autosomal recessive polycystic kidney disease (ARPKD) is a severe pediatric hepatorenal disorder with pronounced phenotypic variability. A substantial number of patients with early diagnosis reaches adulthood and some patients are not diagnosed until ...
K. Burgmaier +23 more
semanticscholar +1 more source
Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks [PDF]
arXiv, 2017 A Convolutional Neural Network was used to predict kidney function in patients with chronic kidney disease from high-resolution digital pathology scans of their kidney biopsies. Kidney biopsies were taken from participants of the NEPTUNE study, a longitudinal cohort study whose goal is to set up infrastructure for observing the evolution of 3 forms of ...
arxiv
A novel PKD1 variant demonstrates a disease-modifying role in trans with a truncating PKD1 mutation in patients with Autosomal Dominant Polycystic Kidney Disease [PDF]
, 2015 Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common form of Polycystic Kidney Disease (PKD) and occurs at a frequency of 1/800 to 1/1000 affecting all ethnic groups worldwide.
Al-Mulla, Fahd +8 more
core
3D Kidneys and Kidney Tumor Semantic Segmentation using Boundary-Aware Networks [PDF]
MICCAI Kidney Tumor Segmentation Challenge 2019, 2019 Automated segmentation of kidneys and kidney tumors is an important step in quantifying the tumor's morphometrical details to monitor the progression of the disease and accurately compare decisions regarding the kidney tumor treatment. Manual delineation techniques are often tedious, error-prone and require expert knowledge for creating unambiguous ...
arxiv
A comprehensive review of Chronic Kidney Disease of Unknown Etiology [PDF]
arXiv, 2018 This review was written to provide a comprehensive summary of the suggested etiologies of Chronic Kidney Disease of Unknown Etiology (CKDu) in Sri Lanka. In this review, Chronic Kidney Disease (CKD) is explained in detail and its known etiologies are discussed.
arxiv
Putative roles of cilia in polycystic kidney disease [PDF]
, 2011 The last 10years has witnessed an explosion in research into roles of cilia in cystic renal disease. Cilia are membrane-enclosed finger-like projections from the cell, usually on the apical surface or facing into a lumen, duct or airway.
Jenkins, Dagan, Winyard, Paul
core +1 more source